By Ariel Coro.
TL;DR
- Productitis is the dealership habit of treating a performance problem as a product shortage.
- It shows up when a store adds another lead source, widget, dashboard, agency, or AI tool before fixing the process already leaking opportunities.
- Behavioral research calls the underlying tendency subtractive neglect: people look for something to add before they consider what they could remove.
- More leads pushed through a broken response process usually create more waste, more vendor overlap, and murkier accountability.
- AI can help a dealership audit its stack and lead handling, but only if it is used to simplify the operation instead of becoming one more product in it.
When lead volume drops, appointment show rates soften, or sales miss the forecast, many dealerships reach for the same prescription: buy another product.
Another third-party lead source. Another website widget. Another chat provider. Another equity-mining platform. Another dashboard to explain why the other dashboards disagree. Now that AI appears in nearly every vendor pitch, the stack can grow even faster.
I coined the term productitis to describe this reflex.
Productitis is the dealership habit of diagnosing a performance problem as a shortage of products, then adding another vendor, tool, channel, or feature before removing overlap or repairing the process already in place.
The store already has plenty of technology, but every missed target produces a new demo. That is the symptom.
Productitis is not caused by stupidity. It is a predictable bias, helped along by an industry that always has something new to sell.
The Lego problem hiding in your vendor stack
Behavioral researchers call the instinct behind productitis subtractive neglect.
In eight experiments published in Nature, Gabrielle Adams, Benjamin Converse, Andrew Hales, and Leidy Klotz found that people searched for additive solutions and often missed subtractive ones. The effect was stronger when people were carrying a heavier cognitive load. Read the original research.
The best-known test used a Lego structure with a platform balanced over a small figurine. Participants had to make the platform stable enough to hold a masonry brick. Adding pieces cost money. Removing them was free.
The clean solution was to remove one block so the platform could rest flat on the base. Still, 59% of participants paid to add bricks. When researchers added a simple reminder that removing pieces was free, the share choosing addition fell to 39%. UVA's Darden School explains the experiment here.
Dealerships repeat that experiment every month. Their Lego blocks are vendor contracts.
The BDC is inconsistent, so the store buys more leads. The website conversion rate looks weak, so another widget goes on the VDP. Managers do not trust the attribution report, so the dealership buys another attribution platform. Nobody owns unsold follow-up, so an AI agent gets bolted onto the CRM.
Sometimes the addition helps. Other times, the store pays for another block when it needed to remove one.
Why adding a product feels like management
Buying something looks like action. There is a kickoff call, a dashboard, a training session, and a launch date. The GM can point to the new product and say the problem is being handled.
Subtraction is quieter and less flattering. Somebody has to map the process, find the duplication, read lead records, listen to calls, inspect response quality, and decide what should stop. The work may reveal that a product the store has paid for all year is barely used. It may show that the leads were fine and the follow-up was not. It may also force two vendors to explain why they both claim credit for the same customer.
That work is harder, especially in a store where managers are already overloaded. The research found that people were less likely to find subtractive solutions under higher cognitive load. Busy dealership leaders are therefore making stack decisions under the exact conditions that favor addition.
A new vendor can promise an outcome without challenging the existing process. "We will send more opportunities" is an easier conversation than "Your team is already receiving enough opportunities and mishandling them." One comes with a sales deck. The other comes with accountability.
More leads do not repair a leaking process
Lead generation and lead management are different problems. Productitis blends them together.
A dealership may have a real traffic problem. It may also have slow responses, weak answers, poor routing, incomplete CRM notes, bad appointment confirmation, no-show leakage, or salespeople closing tasks without doing the work. More volume does not distinguish among those failures. It feeds all of them.
The arithmetic is brutal:
More leads multiplied by the same leakage equals a more expensive version of the same problem.
Suppose a store adds a source that sends 150 leads a month. Those leads enter the same routing rules, receive the same generic templates, hit the same overloaded BDC, and disappear into the same reporting gaps. The dealership did not solve lead generation. It simply created 150 more opportunities to mishandle.
This is how a dealership ends up with several busy vendor dashboards and almost no movement in total sales. Each provider can show engagement, influenced conversions, or attributed leads. Nobody owns the complete path from inquiry to appointment to showroom to sold unit. Every addition makes that accountability harder to find.
Common symptoms of dealership productitis
Productitis usually appears in one of these forms:
- The store buys another lead source before calculating contact, appointment, show, and sold rates by current source.
- A second tool is added to perform a function already included in the CRM, website platform, DMS, or agency agreement.
- A new AI agent is hired without deciding which employee or vendor workflow it replaces.
- Another dashboard is introduced because managers do not use the reports they already have.
- A new website conversion tool is installed without removing an older widget, creating competing calls to action and duplicate customer records.
- The dealership pays several vendors to reach the same shopper, then accepts each vendor's self-attribution as proof of incremental value.
- Training is treated as a launch event instead of a managed behavior with an owner and scorecard.
One item on this list does not prove that a product is unnecessary. A cluster of them can indicate that the store is buying around an operating problem.
Productitis is not an argument against technology
Dealerships need good products. A store should add technology when it fills a defined gap better than the current process can.
Sequence matters.
Diagnose before you buy. The dealership should know which step is broken, what the current baseline is, who owns the result, and what the new system will replace. Without those answers, the store is buying another variable.
A useful product should simplify the operation somewhere. It might remove manual follow-up, eliminate duplicate data entry, replace two overlapping vendors, shorten the path to an appointment, or make performance easier for a manager to inspect.
If a product adds a login, a report, a workflow, and another meeting without removing anything, its real cost is larger than the invoice.
How AI can help a dealership treat productitis
AI can help because productitis leaves a long paper trail. Vendor contracts, CRM records, call transcripts, email templates, lead-source reports, task histories, and attribution dashboards all contain pieces of the answer. Few managers have time to put those pieces together by hand.
Give an approved AI system a spreadsheet of the dealership's products. For each product, include the cost, contract term, promised job, internal owner, integrations, usage, and KPI. Ask the system to group products by function and flag overlap. Three vendors may be doing versions of the same job. The store may also be paying separately for a feature already included in another platform.
Now inspect how the store handles real opportunities. AI can review a sample of CRM histories, calls, emails, and text conversations for slow responses, unanswered questions, weak appointment requests, broken routing, and follow-up that stopped too early. Don't ask for another score. Ask the system to show the evidence and identify the first place where a good opportunity went bad.
AI is also useful for pressure-testing subtraction. What changes if the store removes a duplicate widget, consolidates two lead sources, simplifies routing, or gives one manager ownership of unsold follow-up? An AI-generated answer isn't the decision. It is a fast way to expose assumptions and give the management team better questions to investigate.
By the end of an AI-assisted productitis audit, the dealership should have:
- A map of every product, its job, its owner, and its monthly cost.
- A list of duplicated features, reports, automations, and customer touchpoints.
- Evidence from real leads showing where the current process fails.
- A recommendation for what to stop, combine, repair, or replace before anything new is added.
AI can also become productitis. Add an AI agent without removing a task, naming an owner, or measuring an outcome, and the dealership has repeated the same mistake with a newer label. Use AI to diagnose the operation first. Make it earn a permanent place in the stack after that.
Treat customer data with the same care required in any other dealership system. Remove personal information that the analysis does not need, use approved tools, follow the store's data policies, and have a manager validate the findings. AI can speed up the audit. It shouldn't make the decision by itself.
Run a subtraction audit before the next demo
Before adding another lead-generation product, freeze new purchases for 30 days and inspect what is already happening. That month can teach the store more than another polished demo.
Start with a complete inventory. For every lead source and customer-facing tool, record the monthly cost, contract date, promised job, actual owner, active users, integrations, and the KPI it is supposed to move. Mark any functions that appear more than once.
Trace 20 real opportunities from start to finish. Read the CRM history, inspect the messages, listen to the calls, and follow each customer through appointment, show, and sale. That sample can reveal the first place where the process breaks.
Remove one source of friction before adding volume. That might mean simplifying routing rules, eliminating duplicate autoresponders, cutting a widget, reducing lead sources, tightening the response playbook, or making one manager responsible for unsold follow-up.
Measure the current system again. If performance improves after subtraction, the store did not have a product shortage. It had an operating problem wearing a marketing costume.
Five questions that can prevent the next bad contract
Before a dealership signs for another product, the buyer should be able to answer five questions in plain English:
- Which exact step in the customer journey is failing?
- What evidence shows that the failure is caused by missing technology?
- Which current product, task, or vendor will this replace?
- Who inside the store will own daily adoption and inspect the result?
- What metric and deadline will determine whether the product stays or goes?
If the answer to question three is "nothing," slow down. That is productitis talking.
The cure is not minimalism. It is discipline.
The point is not to run a dealership with the fewest possible products. A stripped-down stack can be just as dysfunctional as an overloaded one.
Every addition should earn its place, and subtraction should be part of every buying decision. Ask what the store can remove, combine, replace, or stop before asking what else it can buy.
Your dealership may truly need more leads. It may need a better CRM, a stronger website, an AI agent, or a different agency. Just make sure the store is not paying to add Lego bricks around one block that should have been removed.
Frequently asked questions
What is productitis in a car dealership?
Productitis is the habit of treating dealership performance problems as product shortages. The store responds by adding vendors, tools, lead sources, or features before fixing process failures or removing overlapping technology.
I coined the term to describe this recurring pattern in dealership operations and lead generation.
What is subtractive neglect?
Subtractive neglect is the tendency to search for additive solutions before considering whether removing something would solve the problem more efficiently. Research published in Nature found this pattern across physical and conceptual tasks.
How can a dealership tell whether it needs more leads?
Review current lead volume alongside contact, appointment, show, and sold rates by source. Inspect response quality and routing. If existing opportunities are not being worked consistently, adding more leads is unlikely to solve the underlying problem.
When should a dealership add a new technology product?
Add one when the store has identified a specific process gap, established a baseline, assigned an internal owner, confirmed the integration path, and decided what the new product will replace or simplify.
How can AI help a dealership reduce productitis?
AI can organize a product inventory, identify overlapping functions, review CRM histories and customer conversations, and surface the point where leads are being lost. It is most useful before a purchase, when the dealership is deciding what to remove, repair, combine, or replace.
Before you buy another AI product
Use the Dealer AI Readiness Checklist to identify the workflow, ownership, data, and process gaps that another tool will not fix. For a hands-on vendor and workflow review, see Dealer AI Guy consulting.